Pinterest reframed its AI goal from maximizing view time based on instinctual reactions (System 1) to promoting content based on deliberate user actions like saves (System 2). This resulted in self-help and DIY content surfacing over enraging material, making users feel better after using the platform.
Social media algorithms amplify negativity by optimizing for "revealed preference" (what you click on, e.g., car crashes). AI models, however, operate on aspirational choice (what you explicitly ask for). This fundamental difference means AI can reflect a more complex and wholesome version of humanity.
To trust an agentic AI, users need to see its work, just as a manager would with a new intern. Design patterns like "stream of thought" (showing the AI reasoning) or "planning mode" (presenting an action plan before executing) make the AI's logic legible and give users a chance to intervene, building crucial trust.
Customizing an AI to be overly complimentary and supportive can make interacting with it more enjoyable and motivating. This fosters a user-AI "alliance," leading to better outcomes and a more effective learning experience, much like having an encouraging teacher.
Social media algorithms are "separators," showing content to a fraction of your audience to maximize on-platform time. Pinterest's algorithm is a "connector," aligning its goal (giving users the best answer) with your goal (reaching ideal clients), effectively matching you with people actively searching for your solutions.
Effective AI moves beyond a simple monitoring dashboard by translating intelligence directly into action. It should accelerate work tasks, suggest marketing content, identify product issues, and triage service tickets, embedding it as a strategic driver rather than a passive analytics tool.
The vast majority of users search for generic solutions (e.g., "brown sneakers") rather than specific brand names. This creates a massive opportunity for smaller businesses to be discovered based on the quality of their solution, not their brand recognition, making Pinterest a true meritocracy for content.
Avoid the 'settings screen' trap where endless customization options cater to a vocal minority but create complexity for everyone. Instead, focus on personalization: using behavioral data to intelligently surface the right features to the right users, improving their experience without adding cognitive load for the majority.
Traditional marketing often involves an 80/20 split of creation to promotion. Pinterest's structure lets you flip this. Create one core piece of content (the 20%) and then generate numerous unique pins pointing to it (the 80%), maximizing the reach and lifespan of each content asset with minimal new creation.
Pinterest deliberately interrupts the app experience for teens during school hours, prompting them to return later and even helping them turn off notifications. This counterintuitive move sacrifices short-term engagement to build a healthier user relationship, reinforcing its "time well spent" brand promise and fostering long-term loyalty.
The promise of AI shouldn't be a one-click solution that removes the user. Instead, AI should be a collaborative partner that augments human capacity. A successful AI product leaves room for user participation, making them feel like they are co-building the experience and have a stake in the outcome.